Claims, disputes, and litigations are major legal issues in construction projects, which often
result in cost overruns, delays, and adverse working relationships among the contracting …

Automatic text simplification is a research field in computational linguistics that studies
methods and techniques to simplify textual content. Text simplification methods should …

In this paper we investigate the linguistic knowledge learned by a Neural Language Model
(NLM) before and after a fine-tuning process and how this knowledge affects its predictions …

In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of
linguistic profiling that can support language variation research from different perspectives. It …

This study characterises and problematises the language of corporate reporting along
region, industry, genre, and content lines by applying readability formulae and more …

Corpora and web texts can become a rich language learning resource if we have a means
of assessing whether they are linguistically appropriate for learners at a given proficiency …

Abstract Automatic Readability Assessment aims at assigning a complexity level to a given
text, which could help improve the accessibility to information in specific domains, such as …

Neural text simplification has gained increasing attention in the NLP community thanksto
recent advancements in deep sequence-to-sequence learning. Most recent efforts withsuch …

In the last decade, the demand for readily accessible corpora has touched all areas of
natural language processing, including coreference resolution. However, it is one of the …

Automatic readability assessment (ARA) predicts how difficult it is for the reader to
understand a text. While ARA has traditionally been performed at the passage level, there …